Power grid systems and methods with zonal autonomous control

Abstract

A power grid system comprising an asset management controller associated with one or more of a plurality of zones in a power grid is provided herein. The asset management controller is configured to receive primary asset data for a primary asset associated with a zone of the plurality of zones. The asset management controller is further configured to receive secondary asset data for a secondary asset associated with the zone. The asset management controller is also configured to determine, via a machine learning model, a zonal analytics parameter. In addition, the asset management controller is configured to identify an asset management control action for a control device associated with the zone based on the zonal analytics parameter and communicate a command to a distribution zonal controller associated with the zone based on the asset management control action.

What is claimed is: 
     
         1 . A power grid system comprising:
 an asset management controller associated with one or more of a plurality of zones in a power grid, the asset management controller configured to:
 receive primary asset data for at least one primary asset associated with at least one zone of a plurality of zones; 
 receive secondary asset data for at least one secondary asset associated with the at least one zone of the plurality of zones; 
 determine, via at least one machine learning model, at least one zonal analytics parameter; 
 identify at least one asset management control action for a control device associated with the at least one zone based on the at least one zonal analytics parameter; and 
 communicate a command to a distribution zonal controller associated with the at least one zone based on the at least one asset management control action. 
   
     
     
         2 . The power grid system of  claim 1 , wherein the at least one primary asset is a piece of electrical distribution equipment. 
     
     
         3 . The power grid system of  claim 1 , wherein the at least one primary asset includes at least one of a transformer, a breaker, or a generator. 
     
     
         4 . The power grid system of  claim 1 , wherein the at least one secondary asset is an intelligent electronic device (IED) that controls the at least one primary asset. 
     
     
         5 . The power grid system of  claim 1 , wherein the at least one secondary asset is a relay, a gate control unit, or a gateway. 
     
     
         6 . The power grid system of  claim 1 , wherein the at least one zonal analytics parameter includes at least one of a process analytics parameter, a health analytics parameter, a performance analytics parameter, or a security analytics parameter. 
     
     
         7 . The power grid system of  claim 6 , wherein the process analytics parameter includes information indicative of at least one of hardware performance, health, or a life cycle of the at least one secondary asset. 
     
     
         8 . The power grid system of  claim 6 , wherein the process analytics parameter includes at least one of a device computation time, a device performance during an event, hardware diagnostics, firmware logs, device related watchdog events, hardware BIOS logs, device time accuracy. 
     
     
         9 . The power grid system of  claim 6 , wherein the at least one machine learning model includes a process machine learning model that is trained via at least one of historical primary asset data, historical secondary asset data, or historical process analytics parameters. 
     
     
         10 . The power grid system of  claim 6 , wherein the health analytics parameter is indicative of at least one of a health risk, a performance, a condition state, a criticality, or a reliability of the at least one primary asset; and wherein the health analytics parameter is determined based on data measured from one or more sensors associated with the at least one primary asset. 
     
     
         11 . The power grid system of  claim 6 , wherein the at least one machine learning model includes a health machine learning model that is trained via at least one of historical primary asset data, historical secondary asset data, or historical health analytics parameters. 
     
     
         12 . The power grid system of  claim 6 , wherein the performance analytics parameter is indicative of at least one of design constraints or a loading of the at least one primary asset based on thermal characteristics of the at least one primary asset; and wherein the performance analytics parameter is determined based on at least one of historical loading condition, historical loading patters, current loading conditions, or current loading patterns for the at least one primary asset. 
     
     
         13 . The power grid system of  claim 6 , wherein the at least one machine learning model includes a performance machine learning model that is trained via at least one of historical primary asset data, historical secondary asset data, or historical performance analytics parameters. 
     
     
         14 . The power grid system of  claim 6 , wherein the security analytics parameter is indicative of a communication and cyber security (CCS) risk associated with the at least one secondary asset; and wherein the CCS risk is determined from a security log, a communication log, a sequence of events, or a traffic analysis associated with a device. 
     
     
         15 . The power grid system of  claim 14 , wherein the CCS risk relates a level of bandwidth, a level of latency, a cyber security issue, a security patch upgrade pending, a communication-related misconfiguration, a security related misconfiguration, or a needed update. 
     
     
         16 . The power grid system of  claim 6 , wherein the at least one machine learning model includes a cyber security machine learning model that is trained via at least one of historical primary asset data, historical secondary asset data, or historical security analytics parameters. 
     
     
         17 . The power grid system of  claim 6 , wherein the at least one asset management control action is based on the health analytics parameter and the performance analytics parameter, and wherein the at least one asset management control action is at least one of a loading guideline for the at least one primary asset. 
     
     
         18 . The power grid system of  claim 17 , wherein the asset management controller is further configured to:
 communicate the command to a zonal controller associated with the at least one zone.   
     
     
         19 . The power grid system of  claim 17 , wherein the loading guideline controls a loading level on the at least one primary asset to reduce a risk or to re-dispatch sources in another one of the plurality of zones. 
     
     
         20 . The power grid system of  claim 14 , wherein the asset management controller is further configured to:
 determine a life cycle risk for the at least one secondary asset based on the process analytics parameter;   determine a communications and cyber security (CCS) risk for the at least one secondary asset based on the security analytics parameter; and   determine a ranking for the at least one secondary asset based on the life cycle risk and the CCS risk.